Transportation Model Application and Operational Performance of Service Marketing Companies in FCT, Nigeria

Author

Assoc. Prof. Ndulue Theresa Ifeanyiwa, Ladi Victoria Eneche

Abstract

 This study examined the effect of transportation model application on the operational performance of service marketing companies in the Federal Capital Territory, Nigeria. Specifically, it assessed the predictive influence of cost minimisation, route and scheduling optimisation, capacity and resource allocation, and information-based transport decision support. The study adopted a descriptive survey research design. The population comprised 393 managers drawn from 18 registered service marketing companies in the FCT, while Yamane’s formula was used to determine the minimum sample size. Primary data were collected through a structured questionnaire, validated by experts in logistics and service marketing. The reliability of the instrument was confirmed using Cronbach’s alpha, which produced an overall coefficient of 0.84. Data were analysed using multiple regression with the aid of SPSS Version 27. The results revealed that transportation model application had a significant effect on operational performance. The regression model was statistically significant, F(4, 200) = 106.250, p < .005. Individually, route and scheduling optimisation was the strongest predictor of operational performance, β = .295, p < .005, followed by information-based transport decision support, β = .250, p < .005, cost minimisation, β = .215, p = .005, and capacity and resource allocation, β = .185, p = .002. Based on these findings, all four null hypotheses were rejected. The study concludes that transportation model application is a strategic operational tool for improving service efficiency, timeliness, reliability, resource utilisation and customer responsiveness. The study recommends that service marketing companies in the FCT should invest in route optimisation systems, integrated transport information platforms and structured capacity planning while treating cost minimisation as part of a broader operational performance strategy.

Keywords

Cost minimisation, operational performance, route optimisation, service marketing, transportation model

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References

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